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20230714-1-xlm-roberta-base-confusion – AI Model by soBeauty | AlphaNeural AI
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20230714-1-xlm-roberta-base-confusion
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transformers
pytorch
tensorboard
xlm-roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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20230714-1-xlm-roberta-base-confusion
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Accuracy: 0.4259
Loss: 3.1665
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Accuracy
Validation Loss
3.9983
3.85
500
0.3590
3.3866
3.3131
7.69
1000
0.4259
3.1665
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
